DocumentCode
2365333
Title
Analysis and optimization of MIMO capacity by using circuit simulation and embedded element patterns from full-wave simulation
Author
Karlsson, Kristian ; Carlsson, Jan
Author_Institution
SP Tech. Res. Inst. of Sweden, Electron. - EMC, Bors, Sweden
fYear
2010
fDate
1-3 March 2010
Firstpage
1
Lastpage
4
Abstract
A method for analyzing and optimizing multi-port antennas in MIMO systems is presented and exemplified. The method is based on work presented and uses data from full wave electromagnetic field (EM) solvers in combination with circuit simulations for efficient calculations of radiation properties of multi-port antennas. Here it is shown that the method can also be used for simulations of antennas in a MIMO system. The main advantage of the proposed method is that only a few full-wave simulations, which usually are time consuming, are needed when e.g. optimizing the matching circuits for a multi-port antenna. Since embedded element patterns are used, MIMO capacity (and of course all other relevant antenna parameters) can efficiently be computed for any matching network connected to the antenna ports and for different channel models, both statistical and deterministic.
Keywords
MIMO communication; antenna arrays; antenna radiation patterns; circuit simulation; electromagnetic field theory; optimisation; MIMO capacity; antenna parameters; antenna ports; circuit simulation; electromagnetic field solvers; embedded element patterns; full-wave simulation; matching circuits; matching network; multiport antennas; optimization; radiation properties; Analytical models; Circuit simulation; Computational modeling; Computer networks; Electromagnetic fields; Electromagnetic radiation; Embedded computing; MIMO; Optimization methods; Pattern analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Antenna Technology (iWAT), 2010 International Workshop on
Conference_Location
Lisbon
Print_ISBN
978-1-4244-4883-8
Electronic_ISBN
978-1-4244-4885-2
Type
conf
DOI
10.1109/IWAT.2010.5464857
Filename
5464857
Link To Document